| Autor: |
Keshtidar, Mohammad, Talebpour, Mahdi, Abdi, Shahram, Abadi, Mostafa Zangi |
| Zdroj: |
International Sports Studies; 2017, Vol. 39 Issue 1, p39-52, 14p |
| Abstrakt: |
The aim of this study was to determine the prediction model for valuing players as human capital in the Premier Football League of Iran, Persian Gulf League. A descriptive-correlational approach was adopted. The population for the study consisted of all Iranian players in the Premier Football League of Iran, in the 2015-2016 season, a total of 418 players. The sample size for the study, on the basis of limited sampling (Cochran) and at the error level of 5 percent was 200. R software versions, 2-1-3 and EVIEWS software version 9 were used to calculate and process the variables. Descriptive statistics and multiple regression were used for the analysis of the player characteristics Fifteen variables derived from the literature were included in the initial analysis. Based on the coefficients of the regression models, the findings show that five of these: the level of players' previous team; the number of goals scored in the previous season; the number of matches in which the player played in that season; age; and the number of representative international matches contributed significantly to the valuation model. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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